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Modified HSS iteration methods for a class of complex symmetric linear systems

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Abstract

In this paper, we introduce and analyze a modification of the Hermitian and skew-Hermitian splitting iteration method for solving a broad class of complex symmetric linear systems. We show that the modified Hermitian and skew-Hermitian splitting (MHSS) iteration method is unconditionally convergent. Each iteration of this method requires the solution of two linear systems with real symmetric positive definite coefficient matrices. These two systems can be solved inexactly. We consider acceleration of the MHSS iteration by Krylov subspace methods. Numerical experiments on a few model problems are used to illustrate the performance of the new method.

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Correspondence to Zhong-Zhi Bai.

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Communicated by C.C. Douglas.

This work was supported by The National Basic Research Program (No. 2005CB321702) and The National Outstanding Young Scientist Foundation (No. 10525102), P. R. China, and by The US National Science Foundation grants DMS-0511336 and DMS-0810862.

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Bai, ZZ., Benzi, M. & Chen, F. Modified HSS iteration methods for a class of complex symmetric linear systems. Computing 87, 93–111 (2010). https://doi.org/10.1007/s00607-010-0077-0

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  • DOI: https://doi.org/10.1007/s00607-010-0077-0

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